Example report

Contoso Order Management architecture assessment example

This sample shows what engineering leaders and executives receive from an assessment. It details technical debt, models outage costs, compares rewrite strategies, and outlines a 90-day stabilization plan.

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Section 1

Executive summary

Contoso Retail Group operates an order platform processing 7.5 million orders annually (€120M gross merchandise value) across 4 regional warehouses. The platform continues to support business operations, but delivery safety, data consistency, and disaster recovery readiness present operational risks that escalate during 4x seasonal demand peaks.

The overall score of 29.4% places Contoso in the Fragile maturity band. Rather than requiring an expensive, multi-year complete rewrite, the fastest path to stability involves addressing release guardrails, retry idempotency, and recovery controls during the next 90 days.

Primary technical risks

  • •Rollback takes 90+ minutes and depends on manual senior engineer interventions.
  • •Integration retry storms generate duplicate warehouse shipments and invoice records.
  • •Disaster recovery procedures have not undergone validation drills in 18 months.

Key assessment recommendations

  • •Stabilize the core monolith before extracting microservices with the Strangler Fig pattern.
  • •Implement shared idempotency keys across all asynchronous webhook and batch flows.
  • •Establish hard CI/CD security quality gates to block critical vulnerabilities at build time.
Section 2

Business value and ROI analysis

An architecture assessment connects code-level flaws to financial metrics. The table below illustrates the cost of unaddressed technical debt versus the projected financial return of targeted stabilization.

Annual Outage Exposure
€405,000

Calculated from historical outages, including checkout downtime during campaigns (€320k) and batch billing delays (€85k).

Baseline: 3.2 hours average downtime per quarter during peak commercial windows.
Engineering Waste Tax
€310,000

Overhead spent on manual weekend deployments, emergency hotfixes, flaky test retries, and manual data reconciliation.

Baseline: ~35% of total sprint capacity consumed by operational firefighting.
Avoided Rewrite Loss
€1,850,000

Savings achieved by rejecting an 18-month high-risk big-bang rewrite in favor of an incremental Strangler Fig modernization plan.

Stabilization investment: €85,000 across 90 days.

How the assessment creates immediate commercial value

1. Clear investment boundary

Eliminates speculative platform rewrites by identifying the exact 15% of components causing 80% of operational friction.

2. Concrete delivery backlog

Converts architecture findings directly into sequenced engineering tickets with estimated story points and defined owners.

3. Board and stakeholder consensus

Provides objective, rubric-backed scores that bridge the communication gap between technical teams and executive budget holders.

Section 3

System context and architectural constraints

Contoso Order Management consists of a central .NET Framework 4.7 monolith integrated with external storefronts, B2B portals, and batch warehouse bridges.

// Contoso High-Level Architecture Topology
[ B2C Web: StoreFront (Node.js) ]     [ B2B Web: DealerPortal (MVC) ]
                \                                  /
                 \--- (REST / JSON via HTTP) -----/
                                 |
                                 v
        +--------------------------------------------------+
        |  OrderHub Monolith (.NET Framework 4.7 / IIS)   |
        |  - Order Orchestration    - Pricing Engine       |
        |  - Promotions Service     - Customer Profile     |
        +--------------------------------------------------+
               |                    |                 |
     (Direct SQL Access)    (SMB File Drop)    (HTTP REST)
               v                    v                 v
        +--------------+    +--------------+   +--------------+
        | Primary DB   |    | WMSBridge    |   | NotifySvc    |
        | SQL Server   |    | (Warehouse   |   | (SMS/Email   |
        | 2016 Single  |    |  CSV Sync)   |   |  Single Reg) |
        +--------------+    +--------------+   +--------------+
               |
        (Log Shipping)
               v
        +--------------+
        | Read Replica |
        | (15-30m lag) |
        +--------------+

Core architectural bottlenecks

  • 1.Shared database coupling: 6 independent services read and write directly to the primary SQL schema without domain service boundaries.
  • 2.Circular dependencies: Order, Pricing, and Promotions assemblies reference each other cyclically, complicating testing and deployment isolation.
  • 3.Sticky user sessions: Monolith IIS instances require stateful server affinity, which prevents cloud autoscaling during sudden traffic spikes.
  • 4.Unsafe retry loops: Webhook and file-drop integrations lack idempotency keys, triggering duplicate order processing during transient network errors.

Operating model challenges

  • 1.Fragmented ownership: No single engineering team owns end-to-end order lifecycle transitions across the storefront, monolith, and warehouse.
  • 2.Manual deployments: Releases follow a 24-step manual runbook during weekend off-hours, requiring on-call engineering presence.
  • 3.Missing telemetry: Logs are plain text without correlation IDs, making root cause analysis across distributed systems time-consuming.
  • 4.Untracked remediation: Incident postmortems capture timelines, but follow-up engineering actions lack assigned owners and review cadences.
Section 4

Domain scorecard summary

Each domain contains 10 objective checks scored from 0 (Missing) to 4 (Effective), adjusted by critical control weighting and an evidence confidence factor (90%).

Contoso architecture assessment domain scores
Domain Score Status Primary Gap 90-Day Target
Architecture 26.6% Weak Shared database & circular dependencies 36.0% (+9.4)
Code Quality & Maintainability 31.3% Weak Low test coverage & cyclomatic complexity 42.5% (+11.2)
Security 33.3% Weak No CI CVE blocking & broad RBAC roles 45.0% (+11.7)
Cloud & Infrastructure 30.3% Weak Autoscaling disabled & manual portal changes 40.0% (+9.7)
DevOps 35.2% Weak 90+ min rollback & 3-week release cycles 46.5% (+11.3)
Observability 28.4% Weak Missing correlation IDs & tracing 38.5% (+10.1)
Data 25.4% Weak Missing FKs & unverified restore drills 35.0% (+9.6)
Operational Resilience 20.6% Critical Unapproved RTO/RPO & no recent DR drill 38.0% (+17.4)
Maturity Rubric: Fragile (0–39%) | Managed (40–59%) | Measured (60–79%) | Leading (80–100%)
Weighted Overall Score: 29.4% (Fragile)
Section 5

In-depth technical findings by domain

The assessment evaluated 80 specific technical controls across all 8 domains. Below are the key findings, concrete operational risks, and recommended engineering moves.

1. Architecture (Score: 26.6% — Weak)

Target: 36.0%

Observed State

Monolith with tight database sharing across 6 applications. Static analysis detected circular dependencies between Order, Pricing, and Promotions modules. No architecture decision records (ADRs) exist for recent changes.

Operational Risk

Changes in pricing rules regularly break order validation. Lack of ADRs leads to inconsistent integration patterns and undocumented schema changes that increase release failures.

Remediation Action

Establish lightweight ADRs in source control. Define clean boundary interfaces for Order, Pricing, and Promotions. Enforce static analyzer rules in CI to prevent cyclic dependency reintroduction.

2. Code Quality & Maintainability (Score: 31.3% — Weak)

Target: 42.5%

Observed State

Unit test coverage on critical order orchestration paths is only 28%. 22% of methods exceed cyclomatic complexity > 15 (notably OrderProcessor.cs with 1,200 lines and 34 branches). 1,100 compiler warnings are suppressed, and 6 end-of-life NuGet packages are in production.

Operational Risk

High defect escape rate during routine maintenance. Uncovered edge cases trigger runtime null references during unexpected order payloads. Unsupported packages prevent timely security patching.

Remediation Action

Write characterization tests around high-change order flows before refactoring. Break down OrderProcessor.cs into focused command handlers. Upgrade or replace the 3 most critical end-of-life NuGet dependencies.

3. Security & Compliance (Score: 33.3% — Weak)

Target: 45.0%

Observed State

Hardcoded API keys were identified in historical Git commits. The role-based access control (RBAC) model is coarse (Admin vs User), enabling unauthorized discount adjustments. Vulnerability scanners run monthly, but CI does not block builds with critical CVEs.

Operational Risk

Risk of credential leakage from repository access. Revenue leakage through unmonitored staff discount overrides. Unchecked third-party library vulnerabilities entering production releases.

Remediation Action

Purge secrets from Git history and rotate exposed sandbox credentials. Implement fine-grained policy authorization for discount and price overrides. Add a blocking CI quality gate that fails builds on critical and high CVEs.

4. Cloud & Infrastructure (Score: 30.3% — Weak)

Target: 40.0%

Observed State

Infrastructure configuration is split between ARM templates and manual Azure portal changes. Autoscaling is disabled in production due to in-memory session affinity. Several virtual machines exceed 120 days since their last security patch.

Operational Risk

Environment drift between staging and production causes deployment surprises. Monolith servers saturate during 4x marketing traffic spikes without autoscaling. Unpatched operating systems expose infrastructure to known exploits.

Remediation Action

Move all infrastructure definitions to Bicep or Terraform with GitOps pull request approvals. Externalize user session state to a managed Redis cluster to enable stateless autoscaling. Enforce automated OS patch schedules.

5. DevOps & Delivery (Score: 35.2% — Weak)

Target: 46.5%

Observed State

Deployments occur once every 3 weeks with an average lead time of 12 days. Rollback requires 90+ minutes of manual intervention. Flaky integration tests are automatically retried up to 4 times to force a green pipeline build.

Operational Risk

Slow feedback loops delay bug fixes. Extended rollback windows increase outage durations and engineer stress during releases. Retrying flaky tests masks intermittent concurrency bugs.

Remediation Action

Build single immutable container/package artifacts promoted through environments. Automate rollback using deployment slots or blue/green instances. Isolate and fix flaky tests rather than masking failures with build retries.

6. Observability (Score: 28.4% — Weak)

Target: 38.5%

Observed State

Application logs are unstructured text files stored locally on IIS servers. No distributed tracing exists across the storefront, order monolith, and warehouse bridge. Alert noise is high with a 38% false-positive rate.

Operational Risk

Mean time to diagnose (MTTD) during production incidents exceeds 45 minutes because engineers must grep server files manually. On-call alert fatigue causes delayed responses to genuine service outages.

Remediation Action

Adopt structured JSON logging (Serilog) with W3C correlation IDs passed in HTTP headers. Instrument OpenTelemetry distributed tracing on the order submission path. Tune alert thresholds and remove noisy non-actionable alarms.

7. Data & Analytics (Score: 25.4% — Weak)

Target: 35.0%

Observed State

Foreign key constraints were omitted in high-volume order line tables to maximize write throughput. Integration retry jobs lack database idempotency guards. Database backup restore testing is performed only once per year.

Operational Risk

Orphaned records accumulate in order tables, causing reporting inaccuracies. Batch job retries trigger duplicate invoice generation. Unverified backups create high data loss risk during corruption events.

Remediation Action

Enforce foreign keys for all new schema writes and run data cleanup scripts for legacy orphans. Implement unique idempotency keys on batch operations. Automate monthly database restore verification in an isolated staging environment.

8. Operational Resilience (Score: 20.6% — Critical Gap)

Target: 38.0%

Observed State

Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets are drafted in working documents but lack formal executive signoff. No disaster recovery drill has run in 18 months. Notification services depend entirely on a single Azure region.

Operational Risk

In a major regional Azure failure, platform recovery procedures are unverified, risking days of order processing downtime. Customer communications halt completely during third-party provider regional outages.

Remediation Action

Formalize executive RTO (4 hours) and RPO (15 minutes) agreements. Conduct a scheduled disaster recovery drill with recorded recovery timings. Implement multi-region fallback routing for external notification APIs.

Section 6

Cross-domain risk scenarios and incident analysis

Isolated technical weaknesses combine to cause severe operational outages. Reviewing the last 12 months of incidents illustrates how cross-domain issues trigger business losses.

INCIDENT INC-1042 €320k Loss

Peak-Season Checkout Timeout Storm

Trigger: Marketing campaign launched without pre-warmed compute capacity.

Failure cascade: In-memory session state prevented IIS autoscaling (Cloud-03). Storefront clients retried timing out HTTP calls without backoff (Arch-09). The connection pool on the single SQL Server instance exhausted (Data-04), causing 2.5 hours of degraded checkout.

Remediation: Redis session state + client exponential backoff + SQL connection pooling limits.
INCIDENT INC-1178 €85k Overhead

Duplicate Warehouse Shipment Creation

Trigger: Intermittent network timeout between OrderHub and WMSBridge SMB file share.

Failure cascade: Batch synchronization job retried failed file writes without idempotency check tokens (Data-05). Warehouse picked and dispatched duplicate goods for 412 customer orders before detection (Obs-02).

Remediation: Transactional Outbox pattern with unique idempotency hash keys on shipment records.
INCIDENT INC-1231 48h Invoice Lag

Overnight Billing Batch Failure

Trigger: Database schema migration updated a column name without updating stored procedure parameters.

Failure cascade: Lack of automated integration tests in CI (DevOps-01) allowed the broken migration to reach production. Overnight batch failed silently without triggering severity-1 alerts (Obs-05), stalling 48 hours of invoices.

Remediation: Automated migration verification tests in staging + dead-letter queue failure alerts.
INCIDENT INC-1299 Audit Risk

Unauthorized Discount Rule Alterations

Trigger: Customer service agent account used to apply unauthorized bulk price reductions.

Failure cascade: Coarse RBAC granted broad administrative permissions to internal operational users (Sec-03). Monolith audit logs recorded only the user ID without before-and-after value snapshots (Sec-07).

Remediation: Fine-grained policy authorization + mandatory dual-approval on discounts > 15%.
Section 7

Decision matrix: Complete rewrite vs incremental modernization

Prior to the assessment, Contoso leadership considered a total greenfield rewrite. Our analysis demonstrated why an incremental Strangler Fig modernization strategy provides higher certainty at lower cost.

Rewrite versus Incremental Modernization Comparison
Strategic Dimension Big-Bang Greenfield Rewrite Phased Strangler Fig Modernization
Timeline to First Value 18–24 months (Zero value until cutover) 30–60 days (Immediate risk reduction)
Total Capital Investment €2,000,000 – €3,000,000 estimated €85k stabilization + €40k / quarter
Impact on Business Features Roadmap frozen during 18-month rebuild Continuous feature delivery alongside upgrades
Failure and Cutover Risk High (All-or-nothing cutover weekend) Low (Traffic routed gradually via YARP proxy)
Rollback Capability Complex, high risk of irrecoverable data drift Instant reverse proxy routing back to monolith
Section 8

90-day stabilization action plan

This prioritized engineering backlog addresses the highest operational risks first. Completing these items requires no platform rewrite and provides an estimated +8 to +14 point uplift.

Days 0–30 Risk Containment

Immediate Operational Controls

  • Sign off executive RTO/RPO targets and execute a full DR drill (Res-01, Res-02).
  • Establish a centralized Incident Action Register with weekly SLA reviews (Res-10).
  • Configure CI pipeline security quality gate to block critical CVEs (Sec-04).
  • Purge exposed secrets in Git history and rotate sandbox tokens (Sec-01).
Primary owners: CTO + Operations Lead + Security Lead
Days 31–60 Core Hardening

Data and Delivery Stability

  • Implement shared idempotency keys on WMSBridge and BillingBatch retries (Arch-09, Data-05).
  • Externalize IIS user session state to Redis and re-enable VM autoscaling (Cloud-03).
  • Upgrade top 3 end-of-life NuGet packages and schedule remaining migrations (Code-06).
  • Define automated rollback scripts and validate execution in staging (DevOps-06).
Primary owners: Architecture Lead + Platform Team
Days 61–90 Quality & Monitoring

Observability & Data Rigor

  • Instrument Tier-1 SLOs and OpenTelemetry distributed tracing across order flow (Obs-02, Obs-04).
  • Enforce foreign key constraints on new writes and automate monthly restore tests (Data-04, Data-06).
  • Refactor top cyclomatic complexity hotspots in OrderProcessor.cs (Code-04).
  • Establish monthly alert quality reviews to cut false-positive alerts below 20% (Obs-06).
Primary owners: SRE Lead + DBA Lead + Engineering Leads
Section 9

6–12 month modernization roadmap and target blueprint

Following initial stabilization, Contoso will modernize incrementally using .NET 10 services and Azure cloud native patterns behind a YARP reverse proxy.

Quarter 1

Edge Proxy Routing

Deploy YARP reverse proxy at the edge to route traffic between the legacy .NET 4.7 monolith and new endpoints without client changes.

Quarter 2

Event-Driven Integration

Replace SMB file drops with Azure Service Bus and the Transactional Outbox pattern for asynchronous warehouse and invoice sync.

Quarter 3

Service Extraction

Extract high-change Pricing and Inventory modules into independent .NET 10 microservices on Azure Container Apps.

Quarter 4

Continuous Delivery

Implement automated blue/green canary deployments in GitHub Actions with automated rollback driven by error budgets.

Section 10

KPI targets and engineering governance

Success is tracked against quantitative engineering metrics. The table below outlines current baselines and 6-to-12 month improvement milestones.

Contoso architecture assessment KPI targets
Key Performance Indicator Current Baseline 6-Month Target 12-Month Target
Lead time (commit to production)12 days5 days2 days
Deployment frequency1 per 3 weeks1 per weekDaily on demand
Change failure rate28%12%< 5%
Rollback execution duration90+ min (manual)< 30 min< 10 min (automated)
Alert false-positive rate38%20%< 10%
Database restore drill cadenceYearlyQuarterlyMonthly automated
Annual outage cost impact€405,000€120,000< €30,000
Section 11

What you receive in a Neneos architecture assessment

We provide actionable clarity for both engineering teams and executive leadership. Every assessment deliverable is designed for immediate operational use.

01

Executive Briefing & Scorecard

A concise summary for board members and executives outlining business risks, maturity scores, and capital investment boundaries.

02

25+ Page Technical Report

Detailed examination across all 8 technical domains with concrete code snippets, configuration analysis, and evidence references.

03

Prioritized 90-Day Backlog

A sequenced backlog of engineering tickets ready for Jira or Azure DevOps, complete with estimated story points and target checks.

04

90-Minute Alignment Workshop

An interactive closing session with your architects, engineering leads, and executive sponsor to finalize roadmap ownership.

Frequently asked questions

Is this a real client report?

No. It is a fictional example that keeps client information private while showing the depth and structure of our deliverables.

How long does an assessment take to complete?

A standard assessment takes 2 to 3 weeks from kickoff to final workshop delivery, depending on scope.

Does the assessment require access to our source code and cloud?

Yes. We inspect repositories, CI/CD pipelines, and cloud configurations to ensure findings are grounded in verified technical evidence.

Will this tell us whether to rewrite or modernize?

Yes. A central outcome is an objective comparison between complete rewrites and incremental modernization so you can make informed investment decisions.

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